Title
Nonlinear Learning Control Of Robot Manipulators Without Requiring Acceleration Measurement
Abbreviated Journal Title
Int. J. Adapt. Control Signal Process.
Keywords
Learning Control; Iterative Method; Trajectory Control; Robust Control; Law; Automation & Control Systems; Engineering, Electrical & Electronic
Abstract
A new class of non-linear learning control laws is introduced for a robot manipulator to track a given trajectory in performing a series of tasks. The learning control scheme is applicable to robots with both resolute and prismatic joints, requires only position and velocity feedback, and removes the acceleration measurement required by the existing results. It has been shown that under the proposed learning control the tracking errors are always guaranteed to be asymptotically stable with respect to the number of trials. The proposed control is robust in the sense that exact knowledge about the non-linear dynamics is not required except for bounding functions on the magnitudes. In addition, the new learning scheme can be used without assumptions such as repeatability of robot motion, repeatability of tasks and resetting of initial tracking errors.
Journal Title
International Journal of Adaptive Control and Signal Processing
Volume
7
Issue/Number
2
Publication Date
1-1-1993
Document Type
Article
Language
English
First Page
77
Last Page
90
WOS Identifier
ISSN
0890-6327
Recommended Citation
"Nonlinear Learning Control Of Robot Manipulators Without Requiring Acceleration Measurement" (1993). Faculty Bibliography 1990s. 881.
https://stars.library.ucf.edu/facultybib1990/881
Comments
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